TRAFFIC CONTROL FOR SMART CITIES

Written By Laurent Renard
ALPR_CarColor (4).png

Brands, models, colors detection

Vehicle and persons counting and tracking helped with Artificial Intelligence and Deep Learning.
Analyse of the direction of the flows, and speeds.
Compatible with fixed and PTZ cameras.

Compatible with : RGB cameras.

Use cases :

  • highway cameras

  • smart city cameras

  • petrol stations

  • harbours

  • police vehicles

  • …
    And last but not least : detection of what is important to detect for you on top of the objects already detected in this bundle.

The PHOENIX AI product involved :

SM_ALL with the ability to combine up to 4 detections at at time in real time with the video.
SM_ALL is a video pass-through with IP connectivity and PoE in/out with smart AI and Deep Learning processing in it at up to 60FPS in 4K :
1 PoE input with 100Mbits
1 100 Mbps output
1 PoE Output with 100Mbits

Workflow :

RJ45 IP Camera with PoE > Camera Stream Out > SM_ALL with PoE : decode, detections, encode, statistics > SM_All Stream Out with detection + statistics (JSON, XML, …) ( > VMS, UI Software, …)

Statistics :
– in real time with plate number, brand name, model name, color, DateTimeGroup, location, number of people, directions, speeds, …

Resolutions / Bandwidth :

From 250 pixels width, up to 4Kp60
Up to 100Mbits/stream

Laurent Renard
Previous

Machine Vision with on-device AI and Deep Learning
Next

ANPR